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Search results for generalization
generalization
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75 search results found
Transferlearning
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12,494
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Instruction Tuning Papers
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555
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
Awesome Out Of Distribution Detection
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400
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Adapt
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253
Awesome Domain Adaptation Python Toolbox
Pomdp Baselines
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224
Simple (but often Strong) Baselines for POMDPs in PyTorch (ICML 2022)
Imagenetv2
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197
A new test set for ImageNet
Spinnet
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188
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Causalworld
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169
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Qaconv
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166
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
Cifar 10.1
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145
Release of CIFAR-10.1, a new test set for CIFAR-10.
Dynamics
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144
A Compositional Object-Based Approach to Learning Physical Dynamics
Modular Rl
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140
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
Masala Parser
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126
Javascript Generalized Parser Combinators
Self Adaptive Training
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104
Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
Carl
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99
Benchmarking RL generalization in an interpretable way.
Pgdrive
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92
PGDrive: an open-ended driving simulator with infinite scenes from procedural generation
Distributional Generalization In Natural Language Processing
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86
Distributional Generalization in NLP. A roadmap.
Dir Gnn
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86
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
Awesome Nn Optimization
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65
Awesome list for Neural Network Optimization methods.
Transformer_generalization
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65
The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.
3dshapegen
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64
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
Object Centric Library
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60
Library for the training and evaluation of object-centric models (ICML 2022)
Awesome Distribution Shift
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57
A curated list of papers and resources about the distribution shift in machine learning.
Recurrent Independent Mechanisms
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53
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Driver Dojo
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51
A benchmark towards generalizable reinforcement learning for autonomous driving.
Dropattack
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51
A masked adversarial training method for neural network
Over Parametrization
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43
Computing various norms/measures on over-parametrized neural networks
General 3d Humans
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42
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
In Time Over Parameterization
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42
[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
Nn_decision_boundary
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34
On the decision boundary of deep neural networks
Sharpness Aware Minimization Tensorflow
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34
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
Limit Label Memorization
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31
Improving generalization by controlling label-noise information in neural network weights.
Meta Set
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28
Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
Disc
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27
Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)
Sopa
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25
Technology-invariant pipeline for spatial-omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells
Rgcl
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23
Ratioanle-aware Graph Contrastive Learning codebase
Sgd Sparse Features
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23
SGD with large step sizes learns sparse features [ICML 2023]
Cartagen
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22
CartAGen is a plugin for GeOxygene dedicated to cartographic generalisation
Diagnosere
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21
Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"
Sladd
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21
Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
Tegnas
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21
"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang
Recursivemix Pytorch
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20
Official Codes and Pretrained Models for RecursiveMix
Lasted
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20
Synthetic Image Detection
Disent And Gen
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20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Pinthememory
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19
Pin the Memory (CVPR 2022): Official Project Webpage
Generalizing Lottery Tickets
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19
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
Igv
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19
This repo contains code for Invariant Grounding for Video Question Answering
Zeroc
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18
ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains
Meta Learning Without Memorization
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17
A study about the following problems: what is the memorization problem in meta-learning; why does memorization problem happen; and how to prevent it. (ICLR 2020)
Cv_a Fan
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17
[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
Pgdl
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17
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
Gpt 4v Distribution Shift
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16
Code for "How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation"
Sparsity Win Robust Generalization
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15
[ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun Wang*, Santosh Balachandra*, Haoyu Ma*, Zehao Wang, Zhangyang Wang
Extrapolate
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13
generalize counter-examples of property-based testing
Modules
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13
The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.
Unleashing Mask
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13
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
Sage
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12
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
Nn Frequency Shortcuts
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12
Frequency Shortcuts in Neural Networks
Characterizing_generalization_in_deepmetriclearning
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11
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
Psemix
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10
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification (IEEE-TMI 2024)
Omni Vrp
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10
[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
Pac Imitation
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10
Code for Generalization Guarantees for (Multi-Modal) Imitation Learning
Understanding Sam
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9
Towards Understanding Sharpness-Aware Minimization [ICML 2022]
At_papers
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7
Must-read papers on Adversarial training for neural networks!
Unified Continual Learning
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7
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Transmatcher
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6
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Pgdl
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6
Runner Up Solution for the NeurIPS 2020 Competition - "Predicting Generalization in Deep Learning"
Ndr
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5
The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
Agmax
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5
PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation
Greedy Grid Search
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5
[BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline
Sgrl
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5
[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"
Sln
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5
ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise
Path Sgd
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5
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Avatar
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5
AdVersarial system vArianT AppRoximation - A novel method to measure the generalization of process models
Double Win Lth
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5
[ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
1-75 of 75 search results
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